{"id":"W3200472595","doi":"10.1109/compsac51774.2021.00270","title":"An API for Dew Computing Services","year":2021,"lang":"en","type":"article","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Dew; Computer science; Key (lock); Dew point; World Wide Web; Operating system; Meteorology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002231763,0.00009313351,0.000117117,0.00003406688,0.0002295242,0.0003586318,0.0006132937,0.00003816669,0.000003877622],"category_scores_gemma":[0.000007743946,0.00008775811,0.000055389,0.0002388868,0.000007602748,0.0003498886,0.0002608667,0.00005481463,0.00002897378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001293841,"about_ca_system_score_gemma":0.00005834582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002125169,"about_ca_topic_score_gemma":0.00001013356,"domain_scores_codex":[0.9990422,0.00003128634,0.0001577698,0.0003555556,0.0001135892,0.0002995897],"domain_scores_gemma":[0.9992212,0.0001078473,0.00004181455,0.000398225,0.0001464762,0.0000844212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006526889,0.0003090912,0.006332892,0.0003651193,0.00006297843,0.00007408955,0.006884483,0.0008489554,0.0108331,0.08346672,0.01152943,0.8792866],"study_design_scores_gemma":[0.0002597563,0.00004986291,0.002000882,0.0000301468,0.000003857197,0.00002840619,0.00009517888,0.9560596,0.009454804,0.003686054,0.02811568,0.0002157333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07721202,0.00009786361,0.9133546,0.0005271316,0.004145139,0.00006986922,7.893367e-8,0.0003309615,0.004262365],"genre_scores_gemma":[0.4568666,0.000001439774,0.5381939,0.002259715,0.002279748,0.000002027073,0.000008864141,0.00001165146,0.0003761184],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9552107,"threshold_uncertainty_score":0.3578672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01539131416237581,"score_gpt":0.2766231212354113,"score_spread":0.2612318070730354,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}